Prospective Evaluation of Probabilistic Predictions of Epileptic Seizure Risk Using the EPIDAY Tool

Sponsor
Assistance Publique - Hôpitaux de Paris
Study ID
NCT07068919
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - 65 Years
Healthy Volunteers
Not accepted

Interventions

  • Seizure diary — BEHAVIORAL
    collection of a seizure diary during 3 months
  • Questionnaries — BEHAVIORAL
    Daily self-assessment via the Epiday application during 3 months

Study Details

Studies suggest the existence of a pre-critical state preceding the onset of an epileptic seizure. Identifying these states from self-reported prodromal symptoms, combined with machine learning algorithms, could help anticipate seizures.

Key Dates

First listed
Jul 16, 2025
Start date
Oct 31, 2025
Status verified
Sep 2025
Primary completion
Jan 31, 2028
Completion
Jan 31, 2028

Study Design

Enrollment
50 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER

Arms

  • Experimental: EPIDAY application
    Daily self-assessment via the Epiday application and collection of a seizure diary.

Primary Outcome Measure

Evaluation of the performance of daily probabilistic prediction of epileptic seizure risk using the EPIDAY mobile application, in patients with focal epilepsy, under real-life conditions. [ Time Frame: 28 months ]

Central Contacts

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